Bitcoin price prediction using both traditonal machine learning and deep learning techniques, based on historical price and sentiment extracted from Twitter posts. Fear of missing out analysis after Elon Musk tweeted about Dogecoin.

Bitcoin price prediction using twitter sentiment analysis

Natural language processing on 3 million tweets contain #Bitcoin tags or related. Machine learning model to predict the bitcoin price from the sentiment analysis.

Masterthesis repository - Bitcoin Price Prediction using Sentiment Analysis of Twitter Data

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Bitcoin price prediction using Sentiment Analysis on tweets(From twitter API) and technical analysis on historical candlestick data(From Binance API) using Bollinger Bands and Relative Strength Index.

Repository containing work for w251 final project. The project is in regards to exploring sentiment analysis and price prediction of bitcoin using deep learning and twitter data.

This project aims to forecast Bitcoin prices by analyzing Twitter sentiment data. By combining machine learning techniques with sentiment analysis, we can identify leading indicators that correlate with Bitcoin price movements. The project uses various natural language processing models and forecasting methods to enhance prediction accuracy.

Cryptocurrencies have been trending for a while now, this project aims to help businesses and individuals access the risks and rewards of entering the markets, by giving them a tool to forecast the price of Bitcoin using sentiment analysis and price prediction using historical data. The proposed method combined Historical Data Analysis (Investing.com) and Sentiment Analysis (Twitter) to predict future trend of cryptocurrency.

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Bitcoin Price Prediction Using Twitter Sentiment Analysis

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DNN Based Bitcoin Price Prediction Using Twitter Sentiment Analysis

Bitcoin price prediction using sentiment analysis techniques on the twitter data

The Bitcoin Price Prediction from Tweet Analysis project integrates historical price data with Twitter sentiment analysis to improve forecasting accuracy. Using LSTM and Linear Regression, it explores the influence of public sentiment on Bitcoin's price trends, revealing insights into how social media may impact cryptocurrency markets.

This web application uses Machine Learning (ML) to predict if the price of Bitcoin (BTC) and Ethereum (ETH) will increase or decrease over the next 7 days. It leverages historical price data and sentiment analysis (Fear & Greed Index, Twitter, Reddit) to make predictions.